511675
---
title: "COVID-19 Tweets"
subtitle: Ayush Noori
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
theme:
bootswatch: minty
primary: "#9AC1AE"
navbar-bg: "#9AC1AE"
social: menu
source_code: embed
---
```{r global, include = FALSE}
# load flexdashboard library
library(flexdashboard)
library(bslib)
# load data in global chunk so it can be shared by all users of the dashboard
library(data.table)
library(purrr)
library(magrittr)
library(ggplot2)
# read .RDS object
twt = readRDS("Final Parsed Tweets.RDS")
```
Sidebar {.sidebar}
=====================================
Our project aims to characterize the public opinion of the COVID-19 pandemic by applying machine learning on COVID-related tweets. Rather than access the Twitter COVID-19 streaming endpoint directly, we use the pre-curated [USC JIMR Dataset](https://publichealth.jmir.org/2020/2/e19273/#ref24). After tweet hydration, we use natural language processing tools to derive aggregate features from our dataset.
```{r select-input}
```
Page #1
=====================================
Row
-----------------------------------------------------------------------
### Value Box {.value-box}
```{r value-box}
valueBox(value = nrow(twt), icon = "fa-twitter", color = "#F4D5A4",
href = "https://www.twitter.com")
```
Row
-----------------------------------------------------------------------
### Template
```{r template}